Data warehousing and business intelligence (BI) are the pillars of traditional information architecture and integration. However, new data technologies, increasing data volumes and sources, more complex data integration issues, and the need for lower data latencies are forcing data architects to change their approach to tomorrow's information architecture.
New technologies, however, do not mean the traditional data warehouse (DW) is no longer needed. Instead, data architects must extend the current DW architecture to embrace new data management approaches in a consistent and seamless manner.
This webinar is the third in a series of 3 webinars focusing on solving data integration challenges and maximizing enterprise data value using Red Hat® JBoss® Data Virtualization.